https://github.com/awsdataarchitect/opensearch-bedrock-rag-cdk
Open-source repo with demo of Generative AI RAG solution using Amazon Bedrock and OpenSearch Serverless - Using the Well-Architected Machine Learning Lens PDF to prepare for Machine Learning Engineer Associate (MLA-C01) Certification
https://github.com/awsdataarchitect/opensearch-bedrock-rag-cdk
aws bedrock cdk genai opensearch
Last synced: 6 months ago
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Open-source repo with demo of Generative AI RAG solution using Amazon Bedrock and OpenSearch Serverless - Using the Well-Architected Machine Learning Lens PDF to prepare for Machine Learning Engineer Associate (MLA-C01) Certification
- Host: GitHub
- URL: https://github.com/awsdataarchitect/opensearch-bedrock-rag-cdk
- Owner: awsdataarchitect
- Created: 2024-07-04T05:39:28.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-12T05:13:15.000Z (almost 2 years ago)
- Last Synced: 2024-08-12T06:28:17.515Z (almost 2 years ago)
- Topics: aws, bedrock, cdk, genai, opensearch
- Language: TypeScript
- Homepage: https://vivek-aws.medium.com/rag-solution-using-amazon-bedrock-part-1-build-theamazon-opensearch-serverless-vector-db-using-1656663a302b
- Size: 3.9 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
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README
# Open-source repo with demo of Generative AI RAG solution using Amazon Bedrock and OpenSearch Serverless - Using the Well-Architected Machine Learning Lens PDF to prepare for the AWS Machine Learning Engineer Associate (MLA-C01) Certification Exam
This is a CDK project written in TypeScript to demo how to implement a RAG solution using Amazon Bedrock and Amazon OpenSearch Serverless
# Architecture Diagram: RAG Solution using Amazon Bedrock and AOSS (Amazon OpenSearch Serverless)
For more details on how to deploy the infrastructure and the solution details, please refer to the Blog Posts:
* [Part 1: Build the Amazon OpenSearch Serverless Vector Db using AWS-CDK](https://vivek-aws.medium.com/rag-solution-using-amazon-bedrock-part-1-build-theamazon-opensearch-serverless-vector-db-using-1656663a302b).
* [Part 2: Build the MCQ orchestrator using Bedrock Converse API](https://vivek-aws.medium.com/rag-solution-using-amazon-bedrock-part-2-build-the-mcq-orchestrator-using-bedrock-converse-api-61c2b2ce3f20).
# Architecture Diagram: RAG App using Amazon Bedrock and AOSS (Amazon OpenSearch Serverless) running on ECS Fargate
* [Part 3: Automating Application Setup with ECS Fargate, Bedrock, and OpenSearch Serverless](https://vivek-aws.medium.com/rag-solution-using-amazon-bedrock-part-3-automating-application-setup-with-ecs-fargate-bedrock-b3a55af9f0a4).
# Architecture Diagram: RAG App with Cognito Authenitcation using Amazon Bedrock and AOSS (Amazon OpenSearch Serverless) running on ECS Fargate
* [Part 4: Integrating Cognito Authentication with ECS Fargate, Bedrock, and OpenSearch Serverless](https://vivek-aws.medium.com/rag-solution-using-amazon-bedrock-part-3-automating-application-setup-with-ecs-fargate-bedrock-b3a55af9f0a4).
* [Part 5: Enhancing Security Posture of the GenAI Application](https://vivek-aws.medium.com/rag-solution-using-amazon-bedrock-part-5-enhancing-security-posture-of-the-genai-application-27c8376597a5).
# Architecture Diagram: Event-Driven Document Indexing RAG App with Cognito Authenitcation using Amazon Bedrock and AOSS (Amazon OpenSearch Serverless) running on ECS Fargate
* [Part 6: Enhancing Document Indexing with Event-Driven Architecture for a GenAI Application](https://medium.com/@vivek-aws/rag-solution-using-amazon-bedrock-part-6-enhancing-document-indexing-with-event-driven-770eaf167a0a).
* [Part 7: Deploying on Amazon EKS](https://vivek-aws.medium.com/rag-solution-using-amazon-bedrock-part-7-deploying-on-amazon-eks-bae8a56c0ba1).
# Architecture Diagram: Event-Driven Document Indexing RAG App with Cognito Authenitcation using Amazon Bedrock and AOSS (Amazon OpenSearch Serverless) running on EKS Cluster
* [Part 8: Integrating Amazon Cognito with Amazon EKS](https://vivek-aws.medium.com/rag-solution-using-amazon-bedrock-part-8-integrating-amazon-cognito-with-amazon-eks-605b3982f8c2).
* [Part 9: Optimizing ECS and EKS Infrastructure with AWS Graviton](https://vivek-aws.medium.com/rag-solution-on-amazon-bedrock-part-9-optimizing-ecs-and-eks-infra-with-aws-graviton-897353d96390).
* [Part 10: Develop Cost Sensitive Self-Terminating Resources Using CDK Aspects and Advanced CDK Tips](https://medium.com/@vivek-aws/rag-solution-on-amazon-bedrock-part-10-develop-cost-sensitive-self-terminating-resources-using-97aa0c0ebc20).
The `cdk.json` file tells the CDK Toolkit how to execute your app.
## Useful commands
* `npm run build` compile typescript to js
* `npm run watch` watch for changes and compile
* `npm run test` perform the jest unit tests
* `npx cdk deploy` deploy this stack to your default AWS account/region
* `npx cdk diff` compare deployed stack with current state
* `npx cdk synth` emits the synthesized CloudFormation template